Google launches 'Notebooks' in the Gemini app, giving subscribers a unified workspace to organize chats, files, and custom instructions that syncs seamlessly with NotebookLM for streamlined project management across both platforms.
Perplexity surges 50% in a single month to hit $450M ARR, powered by a bold pivot from AI search to autonomous AI agents, while boasting 100 million monthly users — though it still trails rivals like OpenAI at $20B and Anthropic at $19B in annual revenue.
Google Colab launches two powerful Gemini-powered features — Custom Instructions and Learn Mode — letting users personalize AI coding behavior and transform Gemini into an interactive step-by-step coding tutor.
Poke AI surges to a $300M valuation as its no-download personal assistant lets users manage calendars, health, and smart home devices directly through iMessage, SMS, and Telegram, growing 10x in users in just a few months.
X is rolling out Grok-powered auto-translation globally and an AI photo editor on iOS with natural language editing capabilities, but consent concerns loom as it remains unclear whether safeguards will prevent sexualized edits of others' images.
Perplexity AI's annual recurring revenue surpasses $450 million as of March 2026, more than doubling in a single quarter, while its user base tops 100 million and its valuation soars to $21 billion — up from just $3 billion in mid-2024.
Anthropic launches Claude Managed Agents in public beta, a powerful suite of composable APIs enabling developers to build and deploy cloud-hosted AI agents up to 10x faster, with major companies like Notion, Asana, and Atlassian already shipping production-ready agents in days instead of months.
Windsurf launches SWE-1.6, a blazing-fast AI coding model hitting 950 tokens per second, now freely available for three months, featuring smarter task execution with reduced overthinking and faster parallel tool calls powered by Fireworks and Cerebras.
TriAttention, a new open-source method, compresses KV cache by 10.7x and doubles inference speed on long reasoning tasks while maintaining full attention accuracy, using trigonometric frequency-domain compression and integrating seamlessly with vLLM for easy local deployment on memory-constrained GPUs.
A new open-source toolkit called Gemma Multimodal Fine-Tuner now lets developers fine-tune Google's Gemma AI models on text, images, and audio directly on Apple Silicon Macs, requiring no NVIDIA hardware and supporting terabyte-scale cloud datasets while keeping data fully private on-device.